Meta Outlines How It’s Improved Reels Recommendations
Social Media Today • • technology
Key Points:
- Meta has enhanced its Reels recommendation system by integrating large-scale user response surveys, moving beyond traditional engagement metrics like likes and watch time to include direct, real-time user feedback.
- This survey-based approach has improved Meta’s alignment with true user interests from 48.3% to over 70%, creating a more personalized and engaging experience on Facebook Reels.
- Despite these improvements, Meta still trails TikTok, whose advanced algorithm uses sophisticated entity recognition and computer vision to deeply understand video content and user preferences.
- TikTok’s system reportedly identifies specific visual elements and user traits to tailor content, contributing to its highly addictive "For You" feed, though some of its moderation practices have raised ethical concerns.
- Meta currently relies
